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Paper Citation Record · LEDGER

How accurate are foundational machine learning interatomic potentials for heterogeneous catalysis?

As of 19 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 1 inbound Pith citation observation for arXiv:2512.16702.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2512.16702 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:29:00.066861Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-07T17:17:32.923959Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-07T17:24:00.462789Z

Reference resolution

5 of 5 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 44f09aa3-dee8-4cf2-9f3b-ba4bc6077c45 · outbound

This paper cites an unresolved cited work.

How accurate are foundational machine learning interatomic potentials for heterogeneous catalysis? Unresolved cited work

Reference 1

Resolution
verified exact
doi, observed 2026-08-03T15:33:43.670464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-03T15:28:59.833108Z digest=sha256:9ebcbb4f107ed914c816ae3b3a7209d796abf4a0757b5f8016fd91381529e72b

Observation 61a8daf8-b358-479d-ac20-559c4f10daa8 · outbound

This paper cites & Andersen, M.

How accurate are foundational machine learning interatomic potentials for heterogeneous catalysis? & Andersen, M

Reference 2

Resolution
verified exact
doi, observed 2026-08-03T15:33:43.381389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-03T15:28:59.872728Z digest=sha256:0cdae5501417dc689508cbdc6e79881a4ede065773e0e546c59c3afd5867e034

Observation 4bbc6a84-2e7f-47d0-8eb2-115f9c2c80b0 · outbound

This paper cites & Bruix, A.

How accurate are foundational machine learning interatomic potentials for heterogeneous catalysis? & Bruix, A

Reference 3

Resolution
verified exact
doi, observed 2026-08-03T15:33:43.180677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-03T15:28:59.937430Z digest=sha256:f955a8c93d7532f44f1df155553266f97622250ff2e790418fb504a3b7a3598a

Observation 6db59bab-07e2-4d95-84e1-d30114aa11fb · outbound

This paper cites an unresolved cited work.

How accurate are foundational machine learning interatomic potentials for heterogeneous catalysis? Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T15:28:59.997325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:28:59.997325Z digest=sha256:e026d500080740b16ab573d6cee9ca1a0f718cd0d019695f1554ee5d613b5ede

Observation 73a29f62-c6bb-4fe4-b197-7b41bd0d57d8 · outbound

This paper cites J., Kempen, L.

How accurate are foundational machine learning interatomic potentials for heterogeneous catalysis? J., Kempen, L

Reference 5

Resolution
verified exact
doi, observed 2026-08-03T15:33:42.930204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-03T15:29:00.066861Z digest=sha256:5c6e7fe847af708a908ccdb53eeeb4c3bd2025bf7c1551203a999d82ed5c54d9

Pith citing papers

Observation 5d9d5fea-bb87-4efc-b5c7-3913a7135577 · inbound

Data-driven atomistic modelling of hybrid halide perovskite passivation cites this paper.

Data-driven atomistic modelling of hybrid halide perovskite passivation How accurate are foundational machine learning interatomic potentials for heterogeneous catalysis?

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-07-07T17:24:00.464779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-07-07T17:17:32.923959Z digest=sha256:1592af2d9b15a5f8d3cb7c6934f85c2e54a3aac1cb31735e37faf9d2c0bedefa